Jinliang Deng

4 papers · 2023–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) ❓ The Questioner

Venues

IJCAI (3) NeurIPS (1)

Top co-authors

Xuan Song (3) Renhe Jiang (2) Hui Xiong (1) Feiyang YE (1) Min Yang (1) Haotian Gao (1) Xiankai Lu (1) Yongshun Gong (1) Ji Zhong (1) Du Yin (1)

Research topics

Data Science & Analytics (4) Machine Learning (4) Methods (4) Application Areas (2) Core Methods (2) Learning Types · Machine Learning (2) Deep Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

representation learning (3) time series forecasting (2) domain generalization (1) tensor time series (1) self-supervised pretraining (1) spatiotemporal forecasting (1) adaptive normalization (1) parameter efficiency (1) masked autoencoder (1) spatio-temporal data (1) long-term forecasting (1) time series decomposition (1) model efficiency (1) gaussian mixture (1) neural network (1) spatial-temporal decoupling (1) model compression (1) spatio-temporal out-of-distribution (1) sequence modeling (1)

Papers

CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning IJCAI 2025 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting IJCAI 2024 Learning Gaussian Mixture Representations for Tensor Time Series Forecasting IJCAI 2023